446.24 MB | 00:13:01 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 specialization-introduction-a-conversation-with-andrew-ng (5.81 MB)
01 course-introduction-a-conversation-with-andrew-ng (7.25 MB)
04 a-few-words-from-laurence (5.19 MB)
05 building-the-model (4.43 MB)
06 training-the-model (7.37 MB)
09 first-example-in-code (7.89 MB)
01 the-iris-dataset (3.79 MB)
03 reading-the-data (5.29 MB)
04 one-hot-encoding (2.47 MB)
05 designing-the-nn (3.43 MB)
08 iris-classifier-in-code (11.65 MB)
01 introduction-a-conversation-with-andrew-ng (8.72 MB)
02 creating-a-convolutional-net-with-javascript (8.25 MB)
03 visualizing-the-training-process (4.49 MB)
01 what-is-a-sprite-sheet (6.14 MB)
03 using-the-sprite-sheet (11 MB)
01 using-tf-tidy-to-save-memory (1.73 MB)
02 a-few-words-from-laurence (1.93 MB)
04 mnist-classifier-in-code (20.78 MB)
01 introduction-a-conversation-with-andrew-ng (11.87 MB)
02 a-few-words-from-laurence (6.92 MB)
03 pre-trained-tensorflow-js-models (1.14 MB)
06 toxicity-classifier (5.73 MB)
07 toxicity-classifier-in-code (5.85 MB)
01 mobilenet (1.5 MB)
04 using-mobilenet (2.15 MB)
05 training-results (2.95 MB)
06 mobilenet-example-in-code (7.02 MB)
02 converting-models-to-javascript (7.58 MB)
03 converting-models-to-javascript-in-code (4.99 MB)
04 linear-example-in-code (2.68 MB)
01 introduction-a-conversation-with-andrew-ng (7.7 MB)
02 a-few-words-from-laurence (4.58 MB)
03 building-a-simple-web-page (2.99 MB)
04 retraining-the-mobilenet-model (2.04 MB)
05 the-training-function (5.6 MB)
01 capturing-the-data (6.68 MB)
02 the-dataset-class (2.88 MB)
03 training-the-network-with-the-captured-data (3.11 MB)
01 performing-inference (8.39 MB)
03 rock-paper-scissors-in-code (9.93 MB)
02 a-conversation-with-andrew-ng (6.57 MB)]
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